Abstract:
We have an insatiable need for computing driven by the complex problems and often time-urgent issues that confront us. We are increasingly turning to simulation as a unique means to inform emerging high-consequence decisions. At the same time we are at a crossroads in high-performance computing (HPC) where we face the “end” of Moore's Law. I hope to provide some insight into the collision of policy and science through a series of examples and show how this is shaping our path to next generation HPC options. This includes driving the convergence of artificial intelligence/machine learning, big data analytics and traditional high performance computing.